## Family: zero_inflated_poisson
## Links: mu = log; zi = logit
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_pcu + ln_livestock_pcu + ln_migrant_pop_perc + ln_tourism_inbound_per_capita + ln_tourism_outbound_per_capita + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_gdp_per_capita + offset(ln_population)
## zi ~ ln_pubs_sum_per_capita + ln_gdp_per_capita + ln_population + english_spoken
## Data: data[[i]] (Number of observations: 198)
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup samples = 120000
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI u-95% CI
## Intercept -6.90 1.38 -9.67 -4.28
## zi_Intercept 31.58 6.26 20.10 44.56
## ln_livestock_consumption_kg_per_pcu -0.12 0.06 -0.23 -0.01
## ln_livestock_pcu -0.42 0.04 -0.49 -0.34
## ln_migrant_pop_perc -0.01 0.05 -0.12 0.08
## ln_tourism_inbound_per_capita 0.18 0.07 0.01 0.30
## ln_tourism_outbound_per_capita 0.02 0.12 -0.21 0.28
## ab_export_perc 3.44 1.12 1.14 5.59
## health_expend_perc 0.13 0.02 0.10 0.16
## human_consumption_ddd 0.08 0.01 0.06 0.11
## english_spoken -0.14 0.13 -0.38 0.10
## ln_gdp_per_capita 0.08 0.09 -0.10 0.24
## zi_ln_pubs_sum_per_capita -0.20 0.20 -0.61 0.18
## zi_ln_gdp_per_capita -1.47 0.28 -2.05 -0.96
## zi_ln_population -1.25 0.22 -1.70 -0.85
## zi_english_spoken -0.97 0.64 -2.25 0.26
## Eff.Sample Rhat
## Intercept 105 1.54
## zi_Intercept 80955 1.00
## ln_livestock_consumption_kg_per_pcu 185 1.22
## ln_livestock_pcu 89 1.77
## ln_migrant_pop_perc 91 1.71
## ln_tourism_inbound_per_capita 75 2.23
## ln_tourism_outbound_per_capita 70 2.66
## ab_export_perc 126 1.39
## health_expend_perc 109 1.50
## human_consumption_ddd 96 1.64
## english_spoken 100 1.59
## ln_gdp_per_capita 90 1.73
## zi_ln_pubs_sum_per_capita 110763 1.00
## zi_ln_gdp_per_capita 86375 1.00
## zi_ln_population 79257 1.00
## zi_english_spoken 1118 1.03
##
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample
## is a crude measure of effective sample size, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## [1] TRUE